Optimize your data for your AI/ML model by automatically removing incorrect, incomplete, irrelevant, duplicated, or improperly formatted data. Get cleaned data, with the assurance of no missing values, and a suitable data structure or file.
Checking the accuracy, completeness, and consistency of the data.
Removing duplicate, irrelevant, or incorrect data.
Converting data into a standard format for easier processing and analysis.
Personally identifiable or protected information is removed or masked.
Converting data into a form suitable for training AI models.
Increasing the size and diversity of data to improve the accuracy of AI models.
Select a representative subset of data for use in AI model training.
TagX provides comprehensive data services that support every step of the Machine Learning (ML) and Artificial Intelligence (AI) data pipeline. We understand that data is the foundation of any successful ML or AI project and therefore, we work closely with our clients to provide services that cover the entire data pipeline.
TagX gathers data from various sources such as internal systems, external APIs, and public data sets. We also provide web scraping services to extract relevant data from the web.
Data is curated and cleaned ensuring its relevance to the project. Preprocessing is also done extract features and engineering to make the data usable for Machine Learning and Artificial Intelligence.
TagX provides annotation services at scale to label the data and make it usable for training ML/AI models. We have a team of experts who are well-versed in various annotation techniques such as image annotation, text annotation, and video annotation.
Data is very accessible and ready for analysis. We follow best industry practices to ensure data is well organized and protected. With our services, you can be sure that your data is of the highest quality and ready for analysis, allowing you to gain valuable insights and make informed decisions.
Book a free consultation call today with one our Experts and explore endless possibilities.